Stars
Reverse engineer anything with agents, from app behavior down to native binaries.
艺术动画skill：35种艺术风格、9种解说语法，用代码让画动起来。
Agent Skills for Google products and technologies
Why is this running? Trace any process, port, container, or file back to what started it - CLI + TUI.
Skills for Real Engineers. Straight from my .agents directory.
Production-grade engineering skills for AI coding agents.
A self-improving RLM agent for coding workflows and long-running autonomous tasks.
The 1st Collaborative AI Design Agent Workspace. Local-first and open source. Create motion, prototypes, websites, apps, dashboards, presentations, images, and videos with your team and AI agents. …
from vibe coding to agentic engineering - practice makes claude perfect
OpenAI harness engineering repo initialization scaffold for agent-first development. Works with Claude Code, Codex, Cursor.
"OpenHarness: Open Agent Harness with a Built-in Personal Agent--Ohmo!"
Join Discord: https://discord.gg/5TUQKqFWd / claw-code Rust port parity work - it is temporary work while claw-code repo is doing migration
OmX - Oh My codeX: Your codex is not alone. Add hooks, agent teams, HUDs, and so much more.
Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
A Claude Code plugin that shows what's happening - context usage, active tools, running agents, and todo progress
Teams-first Multi-agent orchestration for Claude Code
FlashInfer: Kernel Library for LLM Serving
Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
Plugins, agents, skills, and commands for Claude Code, Codex CLI, Cursor, OpenCode, Antigravity CLI, GitHub Copilot, and Pi, written once in Markdown and adapted to each tool by generators with val…
Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.
A high-performance, extensible Python AOT compiler.
FlashMLA: Efficient Multi-head Latent Attention Kernels
[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
PyTorch Tutorial for Deep Learning Researchers
Tensors and Dynamic neural networks in Python with strong GPU acceleration